Chris
Hughes
CYBERSYMPOSIUMS
&
Data breaches: You've been compromised, they may have exfiltrated data, now what?
Is DLP dead? How will we protect data in the future?
AI-Enhanced Threat Intelligence: How AI can improve threat intelligence capabilities by analyzing vast amounts of data for actionable insights.
Data labeling and classification: What are the elements of a successful program?
Social Engineering and Your Data: Evolving Sophistication Requires Vigilance
AI and Blockchain for Data Security: Exploring the intersection of AI and blockchain technology in enhancing data security and integrity.
Removeable Media and Data Exfiltration
Data Encryption: When, Where, and How?
Impact of AI on Data Security Workforce: Analyzing how AI is transforming the skills and roles required in the data security field.
Backup and recovery: Are we doing enough to ensure that we can quickly recover from a significant event?
Data Integrity and AI: Ensuring data integrity through AI-driven methods that detect tampering and unauthorized modifications.
Logging for applications: What should we be capturing and how much is too much?
Physical data security: The often overlooked aspect of securing data
AI in Data Encryption and Decryption: Discussing advancements in AI that improve encryption methods and secure data transmission.
Data leaks in mobile apps: Are you checking for them and dealing with discovered issues?